As for the problems such as the inaccuracy of transmission estimation and the color distortion of sky areas or large white area using dark channel prior dehazing, we propose a single image dehazing method based on superpixel segmentation combined with dark-bright channels. First, the superpixel method is used to segment the hazy image, and the obtained superpixel block replaces the fixed square filter window of the dark channel. Second, the prior method which combines dark and bright channels is used to obtain the atmospheric transmittance, and thus the transmittance estimation is more accurate. Thirdly, the atmospheric light value is determined by threshold segmentation combined with the bright channel prior theory in the sky region, and subsequently the transmittance is optimized by the guidance filter method with gradient information. Finally, the hazy image is restored to the dehazed image based on the atmospheric scattering model. The experimental results show that the transmittance and the atmospheric light value estimated by the proposed method are accurate, and a good dehazing effect can be obtained. The proposed method is superior to other comparison algorithms in subjective and objective evaluations.